Biography

Research Interest

• Modeling, computation, and numerical analysis of mathematical problems arising in materials science.

Education Experience

• 2016 - 2021 | University of Maryland, College Park | Applied Mathematics | Ph.D | (Supervisor: Ricardo H. Nochetto)
• 2015 - 2016 | Texas A&M University | Mathematics | Master
• 2011 - 2015 | Beihang University | Mathematics | Bachelor

Work Experience

• 2023 - -- | BIMSA | Assistant professor
• 2021 - 2023 | BIMSA | Postdoc

Honors and Awards

• 2021 | Ivo and Renata Babuska Student Award, University of Maryland
• 2021 | Monroe H. Martin Graduate Research Fellowship, University of Maryland
• 2021 | Outstanding Graduate Assistant Award, University of Maryland

Publication

• [1] G Dong, H Guo, S Yang, Accelerated gradient flows for large bending deformations of nonlinear plates, SIAM Journal on Scientific Computing (2025)
• [2] A Bonito, RH Nochetto, S Yang, Gamma-convergent LDG method for large bending deformations of bilayer plates, IMA Journal of Numerical Analysis, 44(6), 3187-3233 (2024)
• [3] G Dong, Z Gong, Z Xie, S Yang, BDF schemes for accelerated gradient flows in projection-free approximation of nonconvex constrained variational minimization, arXiv preprint arXiv:2409.14670 (2024)
• [4] Lucas Bouck, Ricardo H. Nochetto and Shuo Yang, Reduced Membrane Model for Liquid Crystal Polymer Networks: Asymptotics and Computation, Journal of the Mechanics and Physics of Solids, 187, 105607 (2024)
• [5] Bouck, Lucas, Ricardo H. Nochetto, and Shuo Yang, Convergent FEM for a membrane model of liquid crystal polymer networks, SIAM Journal on Numerical Analysis(2023)
• [6] Bonito, Andrea, Diane Guignard, Ricardo H. Nochetto, and Shuo Yang, Numerical analysis of the LDG method for large deformations of prestrained plates, IMA Journal of Numerical Analysis, 43(2023), no.2, 627-662
• [7] Nochetto, Ricardo H., Michele Ruggeri, and Shuo Yang, Gamma-convergent projection-free finite element methods for nematic liquid crystals: The Ericksen model, SIAM Journal on Numerical Analysis, 60(2022), no.2, 856-887
• [8] A Bonito, D Guignard, RH Nochetto, S Yang, LDG approximation of large deformations of prestrained plates, Journal of Computational Physics, 448, 110719 (2022)
• [9] S Yang, Numerical analysis and computation of nonlinear variational problems in materials science, University of Maryland, College Park (2021)
• [10] M Cameron, S Yang, Computing the quasipotential for highly dissipative and chaotic SDEs an application to stochastic Lorenz’63, Communications in Applied Mathematics and Computational Science, 14(2), 207-246 (2019)
• [11] S Yang, SF Potter, MK Cameron, Computing the quasipotential for nongradient SDEs in 3D, Journal of Computational Physics, 379, 325-350 (2019)